The Python suite for Neuro-AI.
pip install neuralset neuralfetch neuralbench
New here? Start with NeuralSet — the core data pipeline.
Each pipeline step maps to a Python package — NeuralFetch handles data discovery, NeuralSet loads & transforms, and NeuralTrain trains models.
Citation¶
@misc{king2026neuralset,
title = {NeuralSet: A High-Performing Python Package for Neuro-AI},
author = {King, Jean-R{\'e}mi and Bel, Corentin and Evanson, Linnea
and Gadonneix, Julien and Houhamdi, Sophia and L{\'e}vy, Jarod
and Raugel, Josephine and Santos Revilla, Andrea
and Zhang, Mingfang and Bonnaire, Julie and Caucheteux, Charlotte
and D{\'e}fossez, Alexandre and Desbordes, Th{\'e}o
and Diego-Sim{\'o}n, Pablo and Khanna, Shubh and Millet, Juliette
and Orhan, Pierre and Panchavati, Saarang and Ratouchniak, Antoine
and Thual, Alexis and Brooks, Teon L. and Begany, Katelyn
and Benchetrit, Yohann and Careil, Marl{\`e}ne and Banville, Hubert
and d'Ascoli, St{\'e}phane and Dahan, Simon and Rapin, J{\'e}r{\'e}my},
year = {2026},
url = {https://kingjr.github.io/files/neuralset.pdf},
note = {Preprint; URL will be updated when the paper lands on arXiv}
}
@misc{banville2026neuralbench,
title = {NeuralBench: A Unifying Framework to Benchmark NeuroAI Models},
author = {Banville, Hubert and d'Ascoli, St{\'e}phane and Dahan, Simon
and Rapin, J{\'e}r{\'e}my and Careil, Marl{\`e}ne
and Benchetrit, Yohann and L{\'e}vy, Jarod
and Panchavati, Saarang and Ratouchniak, Antoine
and Zhang, Mingfang and Cascardi, Elisa and Begany, Katelyn
and Brooks, Teon and King, Jean-R{\'e}mi},
year = {2026},
howpublished = {Brain \& AI team, Meta FAIR},
url = {https://github.com/facebookresearch/neuroai/neuralbench-repo},
}